PUMA
Istituto di Informatica e Telematica     
Di Pietro R., Petrocchi M., Spognardi A., Colantonio A. Visual Detection Of Singularities In Review Platforms. In: 30th Symposium of Applied Computing (Salamanca, Spain, 13-17/04 2015). Proceedings, pp. 1294 - 1295. ACM, 2015.
 
 
Abstract
(English)
Product and service reviews can markedly influence consumer purchase decisions, leading to financial gains or losses for businesses. Therefore, there is a growing interest towards techniques for bringing out reviews that could negatively or positively bias new customers. To this goal, we propose a visual analysis of reviews that enables quick elicitation of interesting patterns and singularities. The proposed approach is based on a theoretically sound framework, while its effectiveness and viability is demonstrated by its application to real data extracted from Tripadvisor and Booking.com.
URL: http://dl.acm.org/citation.cfm?doid=2695664.2696044http://dl.acm.org/citation.cfm?doid=2695664.2696044
DOI: 10.1145/2695664.2696044
Subject applied computing
Fake Detection
visualization techniques
online reviews
Social Computing
K.6.5 Security and protection


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